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Record W1993894661 · doi:10.1177/0003319712470559

Physical Activity Levels, Sport Activities, and Risk of Acute Myocardial Infarction

2013· article· en· W1993894661 on OpenAlex
Xiaoru Cheng, Wei Li, Jin Guo, Yang Wang, Hongqiu Gu, Koon Teo, Lisheng Liu, Salim Yusuf

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.
fundA Canadian funder is recorded on the work.

Bibliographic record

VenueAngiology · 2013
Typearticle
Languageen
FieldMedicine
TopicPhysical Activity and Health
Canadian institutionsMcMaster UniversityPopulation Health Research Institute
FundersCanadian Institutes of Health Research
KeywordsMedicineOdds ratioMyocardial infarctionConfidence intervalInternal medicinePopulationPhysical therapyMultivariate analysisCase-control studyCardiologyDemographyEnvironmental health

Abstract

fetched live from OpenAlex

Physical activity (PA) during leisure time has been inversely associated with cardiovascular disease risk in the Western populations. We evaluated PA at work and leisure time in relation to acute myocardial infarction (AMI) in Chinese population. We conducted a hospital-based case-control study. The cases had first AMI (n = 2909). The controls (n = 2947) were matched to the cases in age and sex. The odds ratios (ORs) of leisure-time PA for strenuous exercise compared to mainly sedentary was 0.74 (95% confidence interval [CI]: 0.61-0.90) and for moderate exercise it was 0.96 (95% CI: 0.85-1.08). Multivariate adjustment did not substantially alter the association. The ORs of work-related PA for heavy PA compared to mainly sedentary was 1.44 (95% CI: 1.06-1.94), for climbing and lifting was 1.00 (95% CI: 0.77-.30), and for walking was 0.90 (95%CI: 0.75-1.07). Leisure-time PA was protective for AMI risk compared to sedentary lifestyles in a population in China.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.522
Threshold uncertainty score0.332

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.024
GPT teacher head0.303
Teacher spread0.279 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it